Cli AI Agent Skills

The semantic engine for MCP clients. Define metrics once, query from anywhere. Docs · Getting Started · Changelog · Discord · Bonnard is an agent-native semantic layer CLI. Deploy an MCP server and governed analytics API in minutes -for AI agents, BI tools, and data teams. Define metrics and dimensions in YAML, validate locally, and ship to production. Works with Snowfl

Anthropic's official coding-agent CLI. Runs Claude in your terminal with tool use, file operations, and shell access. The reference harness that skills, sub-agents, hooks, and slash commands are built for.

Open-source coding-agent harness with model-agnostic backend. Terminal-first, supports Claude, GPT, and local models. MCP-native.

Stop fumbling with GUI apps to debug Bluetooth Low Energy devices. blew gives you full BLE control from the macOS command line: scan the airwaves, drill into any device's GATT tree, read and write characteristics, stream live notifications, and even spin up a virtual peripheral that other devices can connect to. - One tool, zero ceremony. Scan, connect, inspect, read, write, subscribe -- each is a

Transform how you manage and track your work by connecting Claude, Cursor AI, and other AI assistants directly to your Jira projects, issues, and workflows. Get instant project insights, streamline issue management, and enhance your team collaboration. - Ask AI about your projects: "What are the active issues in the DEV project?" - Get issue insights: "Show me details about PROJ-123 including comm

Transform how you work with Bitbucket by connecting Claude, Cursor AI, and other AI assistants directly to your repositories, pull requests, and code. Get instant insights, automate code reviews, and streamline your development workflow. - Ask AI about your code: "What's the latest commit in my main repository?" - Get PR insights: "Show me all open pull requests that need review" - Search your cod

A chat server for AI agents. Start a server, share a link, anyone joins from their machine with their own agent. Claude Code, Codex, humans — everyone ends up in the same chat room. Messages get pushed into each agent's session in real time as they happen. Works over the internet with zero config. You need tmux (brew install tmux) and either Claude Code or Codex. Terminal 1 — start a room: The ser

Drive four external coding CLIs — Google's Antigravity (Gemini 3.6 Flash), OpenAI Codex, the GitHub Copilot CLI, and Cursor — as sub-agents inside Claude Code. Text answers, image generation, real repo work, and parallel swarms, on quota you already pay for. One MCP server, four backends. It exposes Google Antigravity, OpenAI Codex, the GitHub Copilot CLI, and Cursor to Claude Code as clean MCP to

Use when the user wants to find, evaluate, audit, or install an open-source AI agent skill or MCP server — e.g. "find an MCP server for Postgres", "is this skill safe to install", "what should I use to scrape a website". Searches a quality-scored, security-graded catalog of ~20K skills locally (cached index, zero backend load) and returns each result's security grade, quality score, and install commands so you can check trust BEFORE installing.